Portfolio / 2026

Maleek
Diyaolu

Software Engineer.

My research interests span embodied intelligence, cybersecurity, and Web3. I build and explore ideas at Klorion Labs.

Available for workLagos, Nigeria
Explore my work
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Experience

2018 to present

Jun 2025 to Present

Software Engineer

Crescent University

  • Built the operations platforms behind student onboarding, registration, and human resources.
  • Built cross-platform peer-to-peer file transfer for low-latency environments.
  • Next.js
  • TypeScript
  • Python

May 2024 to Jul 2026

AI/ML Engineer

CreaCubed USA

  • Built web systems for digital health and the agent harnesses behind medical support assistants.
  • Applied neuro-symbolic knowledge extraction to refine LLM reasoning.
  • Shipped real-time translation and transcription, and researched food classification and nutrient estimation.
  • Python
  • FastAPI
  • PyTorch

Jan 2024 to Aug 2026

Product ML Engineer

HabitatHunt

  • Built ML-driven lead generation for realtors, from models to the product around them.
  • Next.js
  • TypeScript
  • Python

Aug 2023 to Nov 2023

Machine Learning Software Engineer

Pusheat

  • Built retrieval-augmented conversational AI for food-related queries.
  • Python
  • FastAPI

Mar 2022 to Nov 2022

Full-Stack Software Engineer

Listwise

  • Built web platforms with integrated AI capabilities and clearer user experiences.
  • React
  • TypeScript

Earlier

  • Software Engineer / ML Intern, Numbers NG

    Improved vendor-client matching by 18%.

    2021

  • Software Engineer, TechieHealth Pharmacy

    Improved product management by 60% and stock-taking by 35%.

    2021

  • Backend Developer, Pusheat

    Real-time vehicle tracking and 100+ API endpoints, halving development time.

    2020

  • Full-Stack Developer, MicrobicPro

    2020 to 2021

  • Co-Founder & Backend Engineer, Fashy

    Multi-country mobile services with messaging and notifications.

    2019 to 2021

  • Software Engineer Intern, Petabyte Esports

    2018 to 2019

Selected Projects

Klorion Labs

Klorion Labs

Optics

Is this person real, and are they who the document says?

Identity verification that pairs document intelligence with real-time liveness detection, so the document and the person presenting it are checked together.

  • Computer Vision
  • Document Intelligence
  • Real-Time Systems
Optics at Klorion Labs

Klorion Labs

Mira

In preview

Understanding before answering.

Exploring smaller, more decisive language models through fast context classification and generative reasoning. The first context is Vuu: deciding when to respond, ask for more context, or defer to deeper reasoning. Architecture research is ongoing, with pretraining from scratch under consideration.

  • Context Models
  • Decision Models
  • Generative Reasoning
Mira at Klorion Labs

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    Let's Connect

    Open to engineering roles on ML systems, and to research and collaborations in embodied intelligence, cybersecurity, and Web3.

    holla@0xy7d.xyz